Integrated architecture for performing online advertising allocations

ABSTRACT

An improved architecture including system and methods for online advertising placement that provide possibly defaulting advertisement tags the opportunity to serve an advertisement ahead of a lower value tag that is guaranteed to fill, resulting in higher CPMs (i.e., Cost Per Mille) for web publishers. The system and methods are configured to deterministically render an advertisement impression from a list of possibly defaulting advertisements in a JavaScript-enabled web browser. The knowledge of the complete outcome of such an “ad chain” at render-time significantly reduces complexity and latency in the supporting ad server. The system and method centers around a novel JavaScript approach to detect when an advertisement has been loaded but not defaulted. Additionally, the system and methods integrate the network and RTB demand channels by looking at all demand sources simultaneously and selecting the buyer from within the user&#39;s browser, and address predictive pricing to further enhance the online advertising placement process.

CROSS REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. patent application Ser. No.16/840,627, titled “Integrated Architecture for Performing OnlineAdvertising Allocations,” filed Apr. 6, 2020, which is a continuation ofU.S. patent application Ser. No. 14/461,186, titled “IntegratedArchitecture for Performing Online Advertising Allocations,” filed Aug.15, 2014, which claims priority under 35 USC § 119(e) to U.S.Application No. 61/866,439, titled “System and Methods forDeterministically Rendering Defaulting Advertisement Chains,” filed Aug.15, 2013, and U.S. Application No. 62/009,297, titled “System and Methodfor Demand Fusion and Predictive Pricing,” filed Jun. 8, 2014, theentireties of all of which are herein incorporated by reference.

BACKGROUND 1. Field of the Invention

The present invention relates generally to the field of digital mediadisplay advertising. In particular, the present invention relates to thefield of optimizing publisher revenue in server or supply-side platforms(SSPs) that enable publishers to manage their desktop and mobileadvertising impression inventory and maximize revenue from digital mediaby providing an integrated architecture for advertising allocations byimplementing enhanced features in supply-side platforms that fusemultiple demand channels and real-time bidding.

2. Description of the Related Art

Digital advertising involves the presentation of display or mobileadvertisements (e.g., banner ads, images, text, and/or hyperlinks ofvarious shapes and sizes) embedded into web pages or mobile applicationsthat are rendered and displayed to Internet users. For example, when anInternet user enters a Uniform Resource Locator (URL) into the addressbar of a browser application and directs the browser application torequest the web page corresponding with the URL, the web page that isrendered and displayed to the user may include one or more displayadvertisements. Although the goal of displaying advertisements may varyfrom one advertisement campaign to the next, many advertisementcampaigns are planned with the objective of driving traffic to a websiteof the advertiser. For example, the owners of a small online businesshaving a web-based retail store for selling tennis equipment (e.g.,tennis racquets, balls, clothes and shoes) may desire to embed displayadvertisements in the web pages of a web-based tennis magazine or blog,with the hope that the readers of the tennis magazine or blog will viewand select the ads for the online tennis store, and ultimately concludea transaction with the web-based tennis store. Similarly, the contentpublisher (e.g., the operator of the web-based tennis magazine or blog)may desire to generate revenue by offering advertisement space on webpages to advertisers for the display of their advertisements.

There are a variety of existing methods and mechanisms by which contentpublishers can make their ad spaces available to advertisers forpurchasing, and by which advertisers find and purchase the advertisementspaces of content publishers. One way is through direct negotiation. Forinstance, an advertiser may directly approach a content publisher with arequest to purchase advertisement space in that content publisher's webpages or mobile applications. Another way that a content publisher mayoffer advertisement space for sale is through an advertisement networkor an advertisement exchange. Advertisement networks and advertisementexchanges are companies that connect content publishers with advertiserswho desire to have advertisements embedded in the content of othercontent publishers. Advertisement networks and advertisement exchangesoperate in a variety of different ways. More and more, given thecomplexity of the operations involved, advertisement networks andadvertisement exchanges have become highly automated such that both thecontent publisher and advertiser can conclude transactions via web-basedinterfaces and automated auctions, without additional personalinteraction.

One problem that content publishers face with existing methods andmechanisms that are used to offer advertisement spaces to advertisers isthe limited audience of potential advertisers that can be reachedthrough any particular ad network or advertisement exchange. Forexample, some advertisers may work with only one advertisement or adnetwork. Therefore, unless a content publisher is working with thatparticular ad network, the content publisher will not have access tothose advertisers. Consequently, in addition to directly negotiatingwith one or more advertisers, a content publisher may be required toutilize multiple advertisement networks and/or advertisement exchangesto find the advertisers that are willing to purchase the contentpublisher's inventory of ad spaces. This typically requires that thecontent publisher establish several user accounts, and become familiarwith the various interfaces, policies and procedures of the several adnetworks and/or ad exchanges that the content publisher utilizes.Furthermore, the content publisher will be required to retrieve andanalyze performance reports, often in varying formats for each adnetwork and/or ad exchange with which the content publisher is using.

Another problem that content publishers frequently encounter is findingthe optimum or best price at which to offer ad spaces to advertisers.For instance, when a content publisher is using a single ad network, theadvertisers participating in that ad network may not accuratelyrepresent the overall market (specifically, the demand in the broadermarket) for the offered ad space. Therefore, if a content publisher setsthe price for an ad space too low, the content publisher will notrealize the fair market value of the ad space. Even in scenarios wherethe ad network or ad exchange uses an auction system, if the publisher'sreserve price is set too low, the limited number of advertisers in anygiven ad network or ad exchange are not likely to bid the price up tothe fair market value, and thus the content publisher is not likely torealize the fair market value of the ad spaces. Consequently, contentpublishers are left with the burden of adjusting the price at whichtheir ad spaces are being offered on multiple ad networks and/or adexchanges, in an effort to find the optimal price. This of course is notan easy task, as the optimal price is likely to change over time, asdemand changes and economic conditions change.

In online advertising environments, several technology platforms existto facilitate efficient transactions including ad exchanges, which arecentralized platforms for aggregating the impressions offered acrossmultiple ad networks and matching them, based on myriad criteria(advertiser's target, budget, and placement requirements) with the mostappropriate advertisements. Real time bidding (“RTB”) platformsfacilitate a dynamic auction process where each impression is bid for inreal time to facilitate cost efficiency, higher performance, and moreaccurate targeting and measurement of advertisement inventory etc.Demand-side platforms (“DSP”) provide buyers with direct access for realtime bidding to multiple sources of inventory. DSP platforms may beoperated by agencies or large advertisers who are the buyers. Publishersuse yield management techniques to increase advertisement revenue. Thistypically involves managing multiple networks. Supply-side platforms(“SSPs”) exist that use the data generated from bidding of impressionsto enable publishers to increase the value of their inventory, managetheir advertising impression inventory and maximize revenue from digitalmedia. Such platforms offer an efficient, automated, and secure way toaccess different sources of advertising income that are available andprovide insights into the various revenue streams and audiences. Moreand more, large web publishers of the world use a supply-side platformto automate and optimize selling their online media space.

In a typical adverting scenario, a SSP on the publisher side interfaceswith an ad exchange, which in turn interfaces with a demand-sideplatform (DSP) on the advertiser side. This type of system allowsadvertisers to provide online advertising before a selected targetaudience. Often real-time bidding (RTB) mechanisms are used to completeDSP transactions.

In many instances, information is often transferred between anadvertisement (“ad”) server and a user's web browser. The primarytransaction is an “ad request,” which is typically composed of twoparts: (1) the request, by which a message containing informationrelevant for advertisement selection is composed and sent to theadvertisement server and (2) the response, by which the advertisementserver returns the selected advertisements back to the client orconsumer.

Advertisement requests are typically initiated or informed, at least ina desktop environment, by a snippet of HTML (Hyper Text Markup Language)on a web page called an “ad tag.” In mobile technologies, other types ofcode may be used for this purpose. The contents of an ad tag may includeplaceholder elements, fallback images, and scripts that trigger adrequests. An ad tag script is configured to call into a local JavaScriptfile, referred to here as a “tag library.” The tag library isresponsible for constructing and issuing advertisement requests,handling advertisement responses, and displaying returnedadvertisements.

A returned advertisement is often in the form of an arbitrary string ofHTML called a “creative.” The tag library displays the advertisement byadding the creative to the current web page in the appropriate location.In the simplest case, the creative contains an image or “Flash” elementrepresenting what is ultimately visible to the user on his or her userdevice as the advertisement. In some instances, the creative may alsorepresent the HTML for a third-party advertisement (ad) tag. The methoddescribed in this application is particular to scenarios where anadvertisement server returns third-party tags. When third-party tags areadded to the page, the entire advertisement request process is repeatedunder the control of the third party.

In instances when a creative is added to the web page, a notificationotherwise referred to as the impression is sent back to theadvertisement server to confirm that the advertisement has beendisplayed. It should be recognized that the term impression alsogenerally refers to the event in which a user views a slot into which anadvertisement can be served, along with any contextual information thatcould inform the advertisement selection process. In such scenarios,impressions are what advertisers are ultimately interested in purchasingfrom web publishers.

Digital advertising supply, or “inventory,” refers to the impressionsthat website publishers or mobile application developers have madeavailable for advertisers to purchase. Impressions are eventuallyassociated with advertisement units, which are the physical spaces onweb pages reserved for displaying advertisements. Traditionally,inventory has been categorized into groups. As one example, inventorymay be referred to as “Premium Inventory,” which represents impressionsthat are sold directly to advertisers who guarantee that they would paya fixed price for a certain quantity. These may be associated withadvertisement units that can be viewed without user scrolling oralternatively, with spaces that exist on web pages with heavy traffic.Although typically a smaller percentage of the inventory available,premium inventory is more valuable to advertisers because of its higherexposure to users.

Yet another type of inventory is “Remnant Inventory,” which representsthe remaining impressions that have not been sold directly to buyers.These impressions may be associated with less visible, lower trafficadvertisement units that are naturally less valuable to advertisersbecause of low exposure to users. Because the amount of remnantinventory that is available is typically much greater than that ofpremium inventory, a major portion of it is often remains unsold.Alternatively, some publishers have direct relationships withadvertisers and others go through intermediaries.

Ad networks have historically aggregated remnant inventory and matchedit with advertiser demand. Ad networks provide publishers with ad tagsthat can be incorporated into their web pages as described above. Suchtags are associated with different compensation methods depending on thetype of inventory targeted. For remnant inventory, the most commonmethod is “Cost per Mille,” or CPM, which is the price the ad networkagrees to pay for every 1,000 impressions an ad receives. Even with adnetwork tags, a given impression is often unable to find a suitable ad.In such instances, the ad network may return a predetermined value inplace of an advertisement. This value is often provided by the end user(e.g., a publisher's operations person) when requesting a tag from thead network, and may be in the form of HTML, JavaScript, or another typeof ad tag. The capability to return this predetermined value when anadvertisement cannot be found is referred to in the industry as a“defaulting tag.” If no default value has been configured, noadvertisement is shown in the advertisement unit slot, but this isacceptable behavior because of the lower priority for filling remnantinventory.

It should be recognized that defaulting ad tags are different from“fill-all” tags, which guarantee the task of serving an ad, but often ata much lower CPM. In many instances, “fill-all” tags are often used asthe default value for defaulting tags. Two features of defaulting adtags are relevant to understanding the process disclosed here. A firstfeature is that defaults are only determined at render-time. The anatomyof a defaulting tag is such that the event of a default can only bedetermined when the tag is attempted in a web browser. This is becauseadvertisement selection is often based on contextual information such asHTTP cookies, the content of the web page, and the size of the user'sscreen. Yet another feature is that an effective CPM must be calculated.Ad networks that default only pay for an impression if an advertisementis found and no default was required. However the CPM for a possiblydefaulting tag does not take into account the rate at which it defaults,i.e., there is no differentiation in value between two tags with thesame CPM that default at very different rates. Thus, the effective CPMof a defaulting tag or in other words, a true value of the defaultingtag may only be determined by keeping a running measurement of itsdefault rate. A natural consequence of using defaulting ad tags is thata portion of publisher inventory either goes unsold or is sold at a muchlower price.

Traditional SSPs were designed before real-time buying or bidding (RTB)emerged; hence these platforms often add real-time bidding (“RTB”)demand to other demand sources, such as DSPs or ad networks, as anafterthought. Because the demand channels are not fully integrated withthe core technology of such traditional SSPs, they implement an“either-or” decisioning approach to buyer selection. When impressionsbecome available, the traditional SSP must choose upfront whether tosend the impression to network buyers or to solicit buyers in thereal-time auction. This inefficiency has minimized competition andlowered the true value of impressions, substantially shrinking publisherrevenue, especially given the constant regularity with which networksdefault on an impression, potentially leaving no alternative but toserve a house advertisement, public service announcements or other verylow CPM 100% fill network.

Thus, traditional SSPs have a 1) fractured demand, that is, nocompetition from network and RTB demand; 2) impression loss, that isnegative results from network defaults and advertisement server hops; 3)higher latency due to impressions being sent outside to third partysystems; 4) high discrepancy rates, because they offer inventory tomultiple demand sources, and must call several ad servers. When fillingan impression, the many SSPs choose at the outset whether to send theimpression to an advertisement network or RTB source as they cannotaccess both channels simultaneously. Thus, traditional SSPs haveconventionally taken an “either/or” approach. If an impression is sentto an advertisement network and the network defaults (or passes theimpression back), the impression cannot be offered to an RTB buyer.

SUMMARY

The present invention overcomes the deficiencies and limitations ofprior systems and methods, at least in part by, providing a system andmethods for deterministically rendering an ad impression from a list ofpossibly defaulting ads in a JavaScript-enabled web browser or mobileapplication. This is in accordance with innovative techniques in adserving that solve the problems of the prior art, by detecting when atag has defaulted and attempting to render another in its place, untilan advertisement is served and an impression is billed. This innovationhas resulted only in small amounts of inventory remaining as unsold andgenerating more revenue for web publishers.

In some implementations, systems referred to as SSDYCO (Server-sideDynamic Yield Curve Optimization) realize the concept of giving morevaluable defaulting tags a chance to serve an advertisement before lessvaluable tags that are guaranteed to fill. This system revolves around“chain serving,” which is a process by which the ad server returns a“chain” of ads in response to an ad request, rather than a single ad.The chain of ads begins with some number of potentially defaulting adnetwork tags and ends with a fill-all tag that does not default. In someimplementations, these tags are arranged in order of decreasing value.The ad chain may then be processed in the user's browser. In someinstances, a JavaScript tag library renders each tag in the chain andstops at the first tag that does not default. By this process,eventually, an impression is imputed to the tag that served anadvertisement.

In some implementations, for detecting faults, the chain renderingprocess relies on the tag library's ability to detect when a tag hasdefaulted. This feature is significant because it requires thecooperation of the defaulting tag. As noted before, a defaulting ad tagis a third-party snippet of arbitrary HTML that may write anything,including scripts, into the webpage in the process of attempting todeliver an ad. When the tag is added to the page, the ad renderingprocess is no longer controlled by the tag library but has been handedoff to a third party. Thus, in the event of a default, there is noimmediate way for code originating from the tag to notify the taglibrary that a default has occurred. A channel of communication is madepossible by the configuration of a default value as described above.Users may set the default value to some HTML that loads a web resourceunder their control, allowing the possibility of a programmatic responsewhen a tag defaults. In this example, this default resource may be astatic HTML file running JavaScript that notifies the waiting chainrendering algorithm of the default.

Yet another difficulty with defaulting tags stems from restrictions thatexist due to the same-origin policy. While attempting to serve an ad,the tag may write out one or more nested iframes with third-partysources before defaulting. This means that in order to successfullynotify the tag library of a default, the default resource will have tocommunicate with JavaScript running under another domain. The canonicalapproach to cross-domain communication is via a window.postMessage API.The chain-rendering algorithms used leverage this API, by first wrappinga chain tag in an unsourced or “friendly” iframe to which a postMessagelistener is attached. The script executing in the default resource thenbroadcasts a postMessage with a default notification to every iframe itmay be contained within. When the postMes sage listener detects themessage, the flow of control is handed back to the tag library, thedefaulting iframe is identified and removed, and the next tag in thechain is attempted.

The chain serving solution uses chain-rendering algorithms, which aredescribed in greater detail below. These chain serving solutions applyto desktop scenarios as well as mobile applications. For mobileapplications, additional modifications may be made to adapt to thevarious mobile configurations that exist. Due to the single-threadedimplementation of JavaScript in mainstream web browsers, a “thread”represents an asynchronous code path that does not executesimultaneously with other threads. Asynchronous events are added to anevent queue and processed on a single true thread in the order received.

In some implementations, an “ad chain” is an ordered list of n ads withthe following properties:

-   -   1. The first n−1 ads are possibly defaulting ads.    -   2. The ads are ordered by decreasing CPM.    -   3. The last ad in the chain is non-defaulting.

The word “link” is used to refer to a JavaScript model of eachadvertisement in the chain. The first n−1 of these links contains HTMLrepresenting third-party defaulting tags as described above. A link mayinclude other properties such as width and height. A thread A may beJavaScript code in the local tag library that performs the followingoperations:

-   -   1. Receive an ad chain from the ad response.    -   2. For the next ad “link” in the chain:        -   a. Remove any previously defaulted iframes.        -   b. Send a “possible impression” event to the server for this            “link,” possibly bundled with a “record default” event for a            previously defaulted “link.”        -   c. If “link” is a defaulting ad:            -   i. Insert “link” HTML into an iframe.            -   ii. Attach a “postMessage” listener to the iframe for                detecting a default.            -   iii. Add the iframe to the page. A Thread B may be                scheduled at this point.        -   d. Otherwise “link” is the last ad in the chain            (non-defaulting):            -   i. Render “link” by adding its HTML to the page.

Thread B (The HTML in the current link's iframe) performs the followingoperations:

-   -   1. The ad HTML for “link” loads, attempting to serve an ad.    -   2. If the ad defaults, request the default resource:        -   a. Execute JavaScript that broadcasts a default notification            to link's iframe using “postMessage.” A Thread C is            scheduled at this point.

Thread C (The “postMessage” listener attached to the current “link's”iframe) performs the following operations:

-   -   1. A default notification is detected and control is passed back        to the tag library in the parent window.    -   2. Thread A resumes at step (2) as discussed above with        reference to Thread A.

In accordance with some other features, a server-side system receivesall the possible impressions and record default events sent out of theuser's browser during chain rendering. These events contain informationthat uniquely identify the particular ad tag attempted or defaulted andthe particular chain rendering process they belong to. The server-sidesystem is responsible for aggregating these events so that theimpression may be attributed to the link of the chain that actuallyrenders in order to provide correct billing and reporting data. Thissystem calculates the impression from the most recently receivedinformation. For example, if the first link of the ad chain defaults, apossible impression event is recorded, and until more data from itschain rendering process is available, the impression for the entiretransaction is imputed to that link. If a record default event isrecorded for the same link, its potential impression is cancelled and apotential impression for the next link is counted.

Although this system may reliably determine the outcome of chainrendering processes, it has drawbacks. The first is that it iscost-prohibitive. In addition to having high availability requirementsand a large memory footprint, this system must scale to the number of adchains being served and rendered. Such systems require resources thatmust be maintained and deployed. A solution that avoids such additionalexpensive services is more desirable. Second, such systems are sometimeincorrect. If a user navigates away from a web page or closes thebrowser midway through the chain rendering process, an impression may beincorrectly imputed to a tag that was about to default. This possibilityis a primary reason why the system provides a server-side service. Ifevents are aggregated in the user's browser and a single impression issent after a delay, a much larger number of transactions are lost due toan increased time window during which the web page may be closed by auser. A third reason is that this system enforces a delay of fifteenminutes before the result of a chain rendering process is consideredfinal. Ads usually take seconds to load or default, and ad chainstypically contain fewer than ten ads. Therefore, other than instances inwhich a web page may be prematurely closed by a user, the data providedby this system has a high probability of being correct, but only afterthis delay. Yet, a system that relies on this delay is not easilyincorporated into an ad serving system that deals with data greedily ordeterministically.

The need for a server-side event aggregation system stems from not beingable to determine in the tag library's chain rendering algorithm if anad has loaded without defaulting. This difficulty is largely due to thethird-party nature of defaulting ad tags; the tag library has noknowledge of the final state of an attempted tag that delivers an ad.Thus, without the ability to differentiate on the client-side between(1) a given tag having rendered an ad, and (2) the tag still being in aloading state, no impression may be deterministically imputed to a tag,as a consequence of which a latent aggregation system is required.

In accordance with the present invention, it is recognized that“deterministic” means that the impression for a given chain renderingprocess may be correctly and immediately imputed to the first tag in thead chain that delivers an ad. The knowledge of the complete outcome ofsuch an “ad chain” at render-time significantly reduces complexity andlatency in the supporting ad server.

BRIEF DESCRIPTION OF THE DRAWINGS

The present invention is illustrated by way of example, and not by wayof limitation in the figures of the accompanying drawings in which likereference numerals are used to refer to the same or similar elements.

FIG. 1 is a block diagram illustrating an example system in accordancewith the present invention for deterministically rendering defaultingadvertisement chains operable in an example environment according tosome implementations of the present technology.

FIG. 2A is a block diagram of an example Supply-side platform (“SSP”) oradvertisement server with the enhanced functionalities fordeterministically rendering defaulting advertisement chains.

FIG. 2B is a block diagram of an example supply-side engine used in theSupply-side platform.

FIG. 3A is a block diagram of an example user device as illustrated inFIG. 1 .

FIG. 3B is a block diagram of an example Supply-side platform (“SSP”)script for deterministically rendering defaulting advertisement chains.

FIG. 3C is an example Supply-side script for demand fusion.

FIG. 4 is a flow chart of a general method for deterministicallydetermining a non-defaulting ad in an ad chain and assigning animpression to that ad.

FIGS. 5A through 5D illustrate flowcharts of a specific method fordeterministically determining a non-defaulting ad in an ad chain andassigning an impression to that ad.

FIG. 6 illustrates an example sequence diagram for deterministicrendering of an ad chain.

FIG. 7 illustrates a flow chart of an example multi-layer bidimplementation in accordance with some aspects of the presentarchitecture and system.

FIG. 8 illustrates a data storage diagram of an example advertisementserver.

FIG. 9 illustrates example “creatives” and tabs for filtering the“creatives.”

FIG. 10 is a graphical representation illustrating an example reportgenerated by the supply-side platform in accordance with the presentinvention configured to implement the new features includingdeterministically rendering defaulting advertisement chains, demandfusion, and predictive pricing.

FIG. 11 is a graphical representation illustrating yet another examplereport generated by the supply-side platform in accordance with thepresent invention configured to implement the new features includingdeterministically rendering defaulting advertisement chains, demandfusion, and predictive pricing.

DETAILED DESCRIPTION

An integrated architecture with system and methods that improveSupply-Side platform (“SSP”) technology with enhanced features isdisclosed to enable publishers to manage their advertising impressioninventory and maximize revenue from digital media. The Supply-sidetechnology fuses real time bidding (“RTB”) and network demand to deliversignificantly higher yield for publishers. Advantageously, this newapproach solves fundamental issues that existed before. Specifically, byfusing Real-Time Bidding (RTB) and network demand into a single auctionand by driving up price competition, the yield for publishers issignificantly maximized.

The enhanced SSP platform provides mechanisms for deterministicallyrendering an advertisement chain in a user's web browser (or mobileapplication) in response to determining market demand. The term“deterministic” as used in this application implies that the impressionfor a given chain rendering process may be correctly and immediatelyimputed to the first tag in the advertisement chain that delivers aparticular advertisement. The algorithms for deterministically renderingdefaulting advertisement chains are described in greater detail below.

In contrast to prior SSP platforms, the new SSP platform in accordancewith the present invention fuses all demand sources simultaneously,considers prices by using predictive pricing schemes (e.g., based onhistorical data) and dynamically selects the highest bidder within theuser's browser, eliminating impression waste and optimizing yield byfostering competition between a publisher's networks and RTB demand. Byusing technology that fuses demand, the new SSP platform allows the RTBprice to always be considered without having to execute a second auctionfor the same impression when an advertisement network defaults animpression. In addition, the new SSP platform provides multi-layeredsafeguards configured to monitor advertisement quality in order toprotect the brand of the publishers and provides a sophisticated set ofreports that may be customized that help publishers identify yieldopportunities.

The improved SSP platform prevents any single impression from defaultingto earn a lower price, by providing an opportunity to seek a higher RTBprice. The improved SSP platform may be configured to focus on eitherthe advertisement quality or yield or both. In the event the desirablefocus is both, the advertisement quality is significantly strengthenedby technology to fuse the demand channels. Undoubtedly, theseinnovations have resulted in a meaningful increase in the yield forpublishers in the digital advertising industry. In some implementations,by fusing RTB and network demand into the core SSP platform, competitionis maximized and a true 100 percent yield-driven solution is created forpublishers.

Advantageously, by fusing the RTB and network demand channels,accomplished by technologies that stack ranks the prices from both theRTB and network demand channels, with the ultimate decision on price andimpression being delivered from the browser rather than from the server.This advantageously eliminates a requirement for multiple “hops” orvisits back to the SSP platform and/or ad server when a networkdefaults. This innovation greatly reduces the potential for countingproblems that can arise in legacy systems where multiple “hops” betweensystems can occur before a particular advertisement is finallymonetized. This advantageously maximizes competition by maintaining alldemand regardless of whether a network defaults.

In addition to the solution for publishers to optimize their RTB andnetwork demand, the improved SSP also protects the publishers byproviding a multi-layered approach for monitoring advertisement qualityand scale. In addition to enhancing automated solutions, the improvedSSP platform in accordance with the present invention also providestools and controls that empower the publisher to enforce the quality ofadvertising brands. As some examples, the tools may include: 1) reviewand block a “creative” proactively within the account; 2) filter bybrand, buyer, category, industry, advertisement type and other criteria;3) identify and request advertisement removal via a browser plug-in andreporting; and 4) automated malware protection through algorithms andthird-party solution providers. Yet another integral component to thenew SSP platform is an expanded suite of sophisticated reports that maybe easily customized to present metrics for identifying yieldopportunities, identifying discrepancies and setting appropriatepricing. Improved features may include at least: 1) providing diversereports for yield, bid landscape and details, and inventory performance;2) provide capabilities to set and schedule monitoring, alerts, andreal-time actions to address a discrepancy, fill rate, yield and bidlandscape.

In some implementations of the present technology, to address the fuseddemand channels, “deterministic” chain rendering is enabled by aJavaScript method for determining at render-time if a particularadvertisement has loaded without defaulting, obviating the need for aback-end aggregation system. This method involves operations includingone by which the tag library may attach an “onLoad” listener to theiframe wrapping the current chain tag being attempted. In someimplementations, the “load” event fires when the iframe and all of thesynchronously downloaded resources within it have properly loaded. Thismay include images, scripts, and nested iframes. In the case of adefault, the tag loads the default resource before the iframe hasloaded, because the default resource is itself a child resource of theiframe that contains it. It then follows that a “default” “postMessage”event is scheduled into the browser's event queue before the “load”event. A subset of mainstream web browsers demonstrate unexpectedbehavior whereby an iframe's load event is processed before apostMessage event originating from within said iframe. The events can beeffectively re-ordered by wrapping the iframe's onload handler code in afunction that executes after a timeout of zero, causing any onload codeto be re-appended to the browser's event queue and execute after analready queued postMessage event. Thus, if an iframe “load” event forthe current link is detected without a corresponding “default”“postMessage” having been received, it can be assumed that anadvertisement has been delivered, and an impression can be imputed andsent to the server immediately.

The new system and methods of the present invention address the numerousinefficiencies identified above that exist in traditional SSPs. Itshould be recognized a major defect was that when filing an impression,the traditional SSPs had to select at the outset whether to send theimpression to an advertisement network or RTB source as they were notconfigured to access both channels simultaneously. Yet, to address thisproblem SSPs help publishers increase and optimize overall yield byfinding the right buyers for any unsold inventory. The improved SSPfunctionalities fuse the network and RTB demand channels, by looking atall demand sources simultaneously and selecting the buyer from withinthe user's browser. The chain-serving technology ranks all potentialbuyers by price, and offers this data to the buyer with the highest bidwho meets the requirements for advertisement quality. If that buyerdefaults for any reason, the technology of the present inventionconsiders other buyers on the list according to their ranking, until theimpression is eventually filled. By this, the new SSP eliminates theimpression waste and optimizes the yield by always fostering competitionbetween the network and RTB demand.

The enhanced features of the new improved SSP include tools for insuringadvertisement quality. Publishers expect high quality advertisementexperiences for their readers. The new SSP provides tools augmented bythe automated process to maintain high standards. Some of the featuresassociated with these tools may include: 1) proactive filtering bybrand, buyer, category, industry, ad type, and other criteria; 2) reviewand block creatives proactively within the account; 3) identify andrequest ad removal via a browser plug-in and reporting; 4) automatedmalware protection via proprietary algorithms and third-party solutions;5) reporting and insights with expansive suite of reports that providetrends and actionable insights to help make informed decisions toincrease performance. Some of the features associated with this are 1)access to diverse reports that pull data for yield, bid landscape &details, impressions (projected and reported), revenue, CPM, andinventory performance; 2) set and schedule monitoring, alerts andreal-time actions on discrepancy, fill rate, yield and bid landscape;and 3) configure reports based on attributes (e.g., ad unit, site) andmetrics (e.g., reported impressions, projection impressions andrevenue). The advantages of the new improved SSP lies in fusing demandwith comprehensive and instant analytics of the Network and RTB demandschemes; chain rendering, which eliminates negative economicconsequences of defaults and ad server hops; and use of browsertechnology that maximizes economics and improves latency through browserinnovations. In addition, the new improved SSP views the network and RTBdemand channels as a whole to award impressions to the highest bidderwho meets advertisement quality requirements. This approach eliminatesnegative consequences of defaults and minimizes impression loss. Itawards impressions based on a true CPM algorithm (looks at CPM inconjunction with default rate) and it offers a true 100% yield-drivensolution (not just about impression fill).

In the following description, for purposes of explanation, numerousspecific details are set forth in order to provide a thoroughunderstanding of this technology. It will be apparent, however, thatthis technology can be practiced without some of these specific details.In other instances, structures and devices are shown in block diagramform in order to avoid obscuring the innovative aspects. For example,the present technology is described in some implementations below withreference to particular hardware and software.

Reference in the specification to “one implementation or embodiment” or“an implementation or embodiment” simply means that a particularfeature, structure, or characteristic described in connection with theimplementation or embodiment is included in at least one implementationor embodiment of the technology described. The appearances of the phrase“in one implementation or embodiment” in various places in thespecification are not necessarily all referring to the sameimplementation or embodiment.

Some portions of the detailed descriptions that follow are presented interms of algorithms and symbolic representations of operations on databits within a computer memory. These algorithmic descriptions andrepresentations are the means used by those knowledgeable in the dataprocessing arts to most effectively convey the substance of their workto others in the art. An algorithm is here, and generally, conceived tobe a self-consistent sequence of steps leading to a desired result. Thesteps are those requiring physical manipulations of physical quantities.Usually, though not necessarily, these quantities take the form ofelectrical or magnetic signals capable of being stored, transferred,combined, compared, and otherwise manipulated. It has proven convenientat times, principally for reasons of common usage, to refer to thesesignals as bits, values, elements, symbols, characters, terms, numbersor the like.

It should be borne in mind, however, that all of these and similar termsare to be associated with the appropriate physical quantities and aremerely convenient labels applied to these quantities. Unlessspecifically stated otherwise, as apparent from the followingdiscussion, it is appreciated that throughout the description,discussions utilizing terms such as “processing” or “computing” or“calculating” or “determining” or “displaying” or the like, refer to theaction and processes of a computer system, or similar electroniccomputing device, that manipulates and transforms data represented asphysical (electronic) quantities within the computer system's registersand memories into other data similarly represented as physicalquantities within the computer system memories or registers or othersuch information storage, transmission or display devices.

The present technology also relates to an apparatus for performing theoperations described. This apparatus may be specially constructed forthe required purposes, or it may comprise a general-purpose computerselectively activated or reconfigured by a computer program stored inthe computer. Such a computer program may be stored in a computerreadable storage medium, such as, but is not limited to, any type ofdisk including floppy disks, optical disks, CD-ROMs, and magnetic disks,read-only memories (ROMs), random access memories (RAMs), EPROMs,EEPROMs, magnetic or optical cards, flash memories including USB keyswith non-volatile memory or any type of media suitable for storingelectronic instructions, each coupled to a computer system bus.

The present technology can take the form of an entirely hardwareembodiment, an entirely software embodiment or an implementationcontaining both hardware and software elements. In some implementations,this technology is implemented in software, which includes but is notlimited to, firmware, resident software, microcode, etc.

Furthermore, this technology can take the form of a computer programproduct accessible from a computer-usable or computer-readable mediumproviding program code for use by or in connection with a computer orany instruction execution system. For the purposes of this description,a computer-usable or computer readable medium can be any apparatus thatcan contain, store, communicate, propagate, or transport the program foruse by or in connection with the instruction execution system,apparatus, or device.

A data processing system suitable for storing and/or executing programcode will include at least one processor coupled directly or indirectlyto memory elements through a system bus. The memory elements can includelocal memory employed during actual execution of the program code, bulkstorage, and cache memories, which provide temporary storage of at leastsome program code in order to reduce the number of times, code must beretrieved from bulk storage during execution.

Input/output or I/O devices (including but not limited to, keyboards,displays, pointing devices, etc.) can be coupled to the system eitherdirectly or through intervening I/O controllers.

Network adapters may also be coupled to the system to enable the dataprocessing system to become coupled to other data processing systems orremote printers or storage devices through intervening private or publicnetworks. Modems, cable modem, and Ethernet cards are just a few of thecurrently available types of network adapters.

Finally, the algorithms and displays presented here are not inherentlyrelated to any particular computer or other apparatus. Variousgeneral-purpose systems may be used with programs in accordance with theteachings herein, or it may prove convenient to construct morespecialized apparatuses to perform the required method steps. Therequired structure for a variety of these systems will appear from thedescription below. In addition, the present invention is not describedwith reference to any particular programming language. It will beappreciated that a variety of programming languages may be used toimplement the teachings of the invention as described herein.

Each computer in the system may include one or more input and output(I/O) unit, a memory system, and one or more processing units. Theinput-output (“I/O”) units of each computer may be connected to variousinput/output devices, such as a mouse, keyboard, video card (videomonitor), sound card (with speakers), network card, and printer. Thememory system in a typical general purpose computer system usuallyincludes a computer readable and writeable nonvolatile recording medium,of which a magnetic disk, a flash memory and tape are examples. Thememory system operably holds the operating system, utilities, andapplication programs. It should also be understood the invention is notlimited to the particular input devices, output devices, or memorysystems used in combination with the computer system or to thosedescribed herein. Nor should the invention be limited to any particularcomputer platform, processor, or high-level programming language.

System Overview

FIG. 1 illustrates a block diagram of an example architecture includingimproved systems for deterministically rendering defaultingadvertisement chains and implementing demand fusion and predictivepricing technologies in an example environment 100 in which the presentsystems and methods are operable. The example system includes at least asupply-side platform (“SSP”) configured with enhanced features andfunctionalities for deterministically rendering defaulting advertisementchains and implementing demand fusion and predictive pricing mechanisms.The supply-side platform is referenced by reference numeral 108. Ademand-side platform 130 is also illustrated. It should be recognizedthat although the platforms are illustrated separately, variousfunctionalities may be integrated. Corresponding scripts that enablethese enhanced features and functionalities are provided to or areotherwise resident in client or user devices 115 a through 115 n. Asillustrated, in some examples of the present technologies, a script 122a (or through 122 n) for deterministically rendering defaultingadvertisement chains is placed in a user, consumer, or client device 115a . . . 115 n. The environment 100 includes an advertiser(s) server orsite 102 (representing one or more online advertisers), a publisher(s)content server or site 104 (representing one or more online publishers),a network 106 (e.g., an advertisement (“ad”) network), a SSP platformconfigured for deterministically rendering defaulting advertisementchains, demand fusion, and predictive pricing (also referred to hereinas platform 108), an advertisement server 110, and a real-time bidmarket system/ad exchange system 107 and user devices 115 a . . . 115 n(also individually and collectively herein referred to as 115). The userdevices 115 a . . . 115 n include web browsers or mobile applications120 a . . . 120 n (also individually and collectively herein referred toas 120) and various scripts. In some implementations, the user devices115 a-115 n, have a script for deterministically rendering defaultingadvertisement chains 122 a . . . 122 n, a script for implementing demandfusion 125 a . . . 125 n, and a script for predictive pricing 127 a . .. 127 n.

The advertiser server 102 may be an online or digital advertiser serveror website 102 (representing one or more online or digital advertisers).In the context of the present disclosure, an advertiser is anyindividual, group of people, company, or any other enterprise, thatdesires to have advertisements embedded in the content of otherpublishers. The online or digital advertiser server 102 may be acomputing system (of one or more computers or processors, either linkedor distributed) that submits bids to the RTB market platform 107 (shownin broken lines) to purchase publisher inventory and have advertiseradvertisements shown on the publisher's website or mobile application.The online or digital advertiser server 102 is illustrated as coupled tothe RTB market platform 107 via signal line 111 and the online ordigital publisher content server 104 is illustrated as coupled to theRTB market platform 108 via line 113. In accordance with the presentinnovations, the advertise server 102 may submit requests to the SSPplatform 108 to purchase publisher inventory and to displayadvertisements from particular advertisers on the publishers' sites orapplications. In some embodiments, the computing system may comprise oneor more processors coupled in a distributed environment or otherwise toexecute the functionalities of the SSP platform 108.

The online or digital publisher content server 104 may be a computingsystem that maintains online or digital content that attracts users andcontains placeholders for ads (from the ad inventory) that are submittedto the RTB market, for sale to advertisers. A content publisher thatplaces content on publisher content server 104 may be an individual, agroup of people, a company, or any other enterprise that owns orcontrols content that is made accessible for viewing via the publishercontent server 104. A content publisher utilizes the publisher contentserver to serve content (e.g., web pages) to the user devices 115 athrough 115 n of an Internet or application user. For instance, in someembodiments, the publisher content server 104 is a web server orapplication server that serves Internet documents or web pages encodedin a mark-up language (e.g., HTML) that can be rendered by the webbrowser (or mobile application) 120 a through 120 n applicationexecuting at a user device 115 a through 115 n, for display to anInternet user. Accordingly, the web pages served by the publisher server104 may be thought of as the publisher's inventory. Each time a web pageis served, an opportunity exists to display one or more advertisementsembedded within the web page. Skilled artisans generally refer to thisopportunity, that is, the presentation of a web page with a displayadvertisement, as a page impression, or simply an impression.Accordingly, the terms “ad space” and “impression” are often usedsynonymously with the term “inventory” to indicate what it is that isbeing offered for sale or viewing by the publisher. The online ordigital publisher content server 104 has access to data provided by theSSP platform 108, either directly or otherwise, for example, predictivepricing components etc.

The RTB 107 may be a computing system that provides a real-time biddingmarket that allows advertisers to bid on publisher inventory inreal-time. While only a single advertiser server 102, a single publishercontent server 104 and a single network 106 are shown in FIG. 1 , itshould be recognized that there may be thousands or even millions ofadvertiser servers 102, publisher content servers 104, or networks 106may be interconnected to execute the operations described here. FIG. 1is merely provided as one example illustration of the systems 102, 104,and 106, which present the environment in which the present technologymay be implemented.

The advertiser server 102 is coupled by signal line 111 forcommunication with the real-time bidding market 108. Although notexplicitly shown in FIG. 1 , it should be recognized that any and allthe signal lines illustrated in FIG. 1 may route, via the network 106,as illustrated in FIG. 1 . The advertiser 102 is coupled to thereal-time bidding market 107 to send bids on impressions, and alsoprovides advertisement content, advertising target information, price,or any other information related to the impression or necessary to servethe ad. The RTB market platform 107 illustrates a real-time biddingmarket, which allows advertisers to bid on publisher inventory inreal-time.

The online publisher content site or server 104 is a computing devicefor hosting a website with any type of content for publishing. Thesignal line 113 provides information to the RTB 107 about whichimpressions on the publisher's site are available for the RTB market.The bi-directional signal lines 113 (from the RTB 107) and 114 (from theSSP platform) indicate that data and other analytics may be provideddirectly to the publishers for future use by them.

The SSP platform 108 may be a computing system that aggregates inventory(e.g., premium inventory and remnant inventory) information from thepublisher server 104 and provides the inventory information to theadvertiser server 102 for advertisers to purchase impressions and/orinventories to post their advertisements. Although only a singleadvertiser server 102, a single publisher server 104 and a singlenetwork 106 are shown in FIG. 1 , it should be recognized that there maybe thousands or even millions of advertiser servers 102, publisherserver 104, or networks 106. FIG. 1 is merely provided for purposes ofillustration of the systems 102, 104, 106, 108, 110, and 115 including120 and 122, which present the environment in which the presenttechnology can be implemented.

The advertiser server 102 is coupled by signal line 112 forcommunication with the SSP platform 108. The advertiser server 102 iscoupled to the SSP platform 108 to provide advertisement content,advertising target information, price, or any other information relatedto the impression or necessary to serve the ad. The online publisherserver 104 is a computing device for hosting a website with any type ofcontent for publishing. The signal line 114 provides information to theSSP platform 108 about which impressions on the publisher's site areavailable for purchase and/or requires filling.

The network 106 is a conventional type, wired or wireless, and may haveany number of configurations such as a star configuration, token ringconfiguration or other configurations known to those skilled in the art.Furthermore, the network 106 may comprise a local area network (LAN), awide area network (WAN) (e.g., the Internet), and/or any otherinterconnected data path across which multiple devices may communicate.In yet another embodiment, the network 106 may be a peer-to-peernetwork. The network 106 may also be coupled to or includes portions ofa telecommunications network for sending data in a variety of differentcommunication protocols. In yet another embodiment, the network 106includes Bluetooth communication networks or a cellular communicationsnetwork for sending and receiving data such as via short messagingservice (SMS), multimedia messaging service (MMS), hypertext transferprotocol (HTTP), direct data connection, WAP, email, etc.

The SSP platform 108 is coupled by signal line 118 to an advertisementserver 110, which is configured to serve the advertisements. Theadvertisement server 110 may be hardware and software that receivesrequests for advertisement units, submits, and then fulfills thoserequests with online content. The advertisement server 110 is coupled tothe network 106 for communication and interaction with the advertiserserver 102 and/or the publisher server 104. In some embodiments, theadvertisement server 110 is also coupled to interact directly with theuser devices 115 a . . . 115 n as depicted in FIG. 1 , by signals lines126 a (connecting the advertisement server 110 to the user device 115 a)through 126 n (connecting the advertisement server 110 to the userdevice 115 n).

The client (alternatively referred to as a consumer, user, or viewer)device 115 a is representative of client devices 115 a-115 n and is aconventional type of computing device, for example, a personal computer,a hardware server, a laptop computer, a tablet computer, or smart phone.The client devices 115 a-115 n, are illustrated, as coupled to thenetwork 106. In one embodiment, the client device 115 (e.g., 115 a) iscoupled to receive online advertisements from the advertisement server110 directly and/or receive content from publishing sites such as thepublisher server 104 via the network 106. The client device 115 (e.g.,115 a) includes a web browser (or mobile application) 120 a forpresenting online content and advertisements to a user (not shown) usingany of the user devices 115 a through 115 n. The web browser (or mobileapplication) 120 a is configured to provide access to a hosted web page.The web page may comprise a main area in which content is displayed andan advertisement. In some instances, the advertisement may be containedwithin an iframe.

As illustrated in the figure, the web browser (or mobile application)120 a may include scripts configured to perform the functionalities withthe SSP platform. In some implementations, a script configured todeterministically render defaulting advertisement chains 122 a through122 n (also referred to herein as script 122) is located in the browser(or mobile application) 120 a through 120 n. The script 122 may beconfigured to deterministically render an advertisement impression(i.e., publisher's inventory) from a list of possibly defaulting ads(received or obtained from the advertisement server 110) in aJavaScript-enabled web browser (e.g., the web browser/mobile application120 a through 120 n).

In some implementations, the script 122 (any of 122 a through 122 n) maybe installed and/or provided by the SSP platform 108 to perform itsrespective functionality in the web browser 120. Detailed description ofthe script 122 (122 a through 122 n) is presented below with referenceto algorithms for deterministic rendering of defaulting ad chains asillustrated in FIGS. 4 through 5C.

In some implementations, in a real-time scenario, the RTB marketplatform 107 is coupled by signal line 117 to an advertisement server110, which serves ads. Advertisers participating in the RTB market sendtheir bids and ad tags simultaneously as they bid. Advertisers who usead consoles typically preload their ad code and the ads corresponding tothe ad code are served from the ad server 110. In some implementations,the ad server 110 is software that receives requests for ad units,submits, and then fulfills those requests with online or digitalcontent. The advertisement server 110 is coupled to the network 106 forcommunication and interaction with online or digital advertisers 102 andthe online or digital publisher content site 104. A user who is browsingthe web on the user device (115 a through 115 n) is a potential customerfor viewing advertisements. There may be any number of users who arecoupled via the network 106 to online or digital publisher sites 104.For example, when a user navigates to a web page or mobile applicationthat is supplied by an online or digital publishing content site 104,requests are sent to the online or digital publishing content site 104(the publisher's server) for content. The user (via any of the userdevice 115 a through 115 n) navigates to a web page via a web browser120. The browser may be any one of Chrome, Safari, Firefox, Internetexplorer or the like.

The online or digital publishing content site 104 (publisher) serves upthe content, which includes executable javascript tags. Once these tagsare loaded in the user's web browser 120 (via lines 124 a through 124 n,routed through the network 106), they are executed and notify the adserver 110 that there is an impression that needs filling. Theimpression is then submitted to the Real-Time Bidding (RTB) marketplatform 107, where advertisers may bid to fill the impression withtheir advertisements. The RTB market platform 107 may apply marketfloors, provided either by publishers or the market operator, for eachof the competing advertisers and may use these market floors, along withthe advertiser bids, to determine the winner of the auction and theirclearing price. In the event that all of the received bids are too low,the Auction may not clear. The operations of the RTB market platform 107are described to present the entire scenario, yet as illustrated by thebroken lines, these operations may be used any or all of the featuresand functionalities of the SSP platform 108.

The RTB market platform 107 implements a real-time bidding market. Inthe implementations described here, the RTB market platform 107 conductsa market floor auction for ad placement, which is a specialized auctionthat determines an auction winner, auction clearing price based on thebids submitted by advertisers, and per-advertiser market floors that arecalculated and distributed by the market floor system 100. In someimplementations, an auction event store (not shown) may include a largecollection of computers arranged in a distributed, computational, andstorage grid. The auction event store may store events from theAdvertisement server 110 and RTB market platform 107. A market floorengine may be configured to determine and provide market floor prices,which may in some instances be dynamically or selectively set bypublishers. In some implementations, the market floor engine may be ananalytics engine that processes auction event data in either real-time,near-real-time, or batch mode, determines market floors based on thisdata, and assesses the revenue impact of using these market floorscompared to publisher “static” floors and/or other benchmarks. Thepublisher may determine market floors by deriving data from the SSPplatform 108.

The SSP platform 108 may be directly coupled to either market buyer oruser devices 115 a through 115 n, through network 106, or an agency (nowshown), to directly provide data and revenue value to any of theseentities.

During an RTB auction, the advertisement server 110 and RTB marketplatform 107 may generate a number of events that include informationabout the context in which the RTB auction is occurring. An “eventprofile” (with the type of information available in the auction bidsthat are received) may be generated when all of the bids from theadvertisers in an RTB auction have been received. An auction event store(FIG. 7 ) may store information available in the “auction complete”event generated when an auction has completed. The auction event storemay include a large collection of computers arranged in a distributed,computational, and storage grid. The auction event store in someimplementations stores events from the advertisement server 110, the RTBmarket system 107, and the SSP platform.

Referring now to FIG. 2A, the Supply-Side Platform (“SSP”) 108 and orthe Advertisement Server 110 may include one or more processors 202, amemory 204 with a SSP Platform Engine, a network I/F module 208 andstorage 210. The processor 202 processes data signals and programinstruction received from the memory 204. The processor 202 may comprisevarious computing architectures including a complex instruction setcomputer (CISC) architecture, a reduced instruction set computer (RISC)architecture, or an architecture implementing a combination ofinstruction sets.

The memory 204 is non-transitory storage medium. The memory 204 storesthe instructions and/or data which may be executed by the processor 202.In some embodiments, the instructions and/or data stored on the memory204 comprises code for performing any and/or all of the techniquesdescribed herein. The memory 204 may be a dynamic random access memory(DRAM) device, a static random access memory (SRAM) device, flash memoryor some other memory device known in the art. The memory 204 includes amanagement engine 212 for implementing the enhanced features.

The network I/F module 208 facilitates the communications between theSSP platform, the DFP platform 130, the RTB market/Ad Exchange system107 and the advertiser server 110 and the Ad network 106, via signallines 131, 128, 119, and 116, respectively. The SSP platform 108 and theAdvertisement server 110 communicate with the other components includingthe processor 202, memory 204, and storage 210 over the bus 206.

The data storage 210 stores the data and program instructions that maybe executed by the processor 202. In some embodiments, the data storage210 includes a variety of non-volatile memory permanent storage deviceand media such as a hard disk drive, a floppy disk drive, a CD-ROMdevice, a DVD-ROM device, a DVD-RAM device, a DVD-RW device, a flashmemory device, or some other non-volatile storage device known in theart.

Referring now to FIG. 2B, the Management Engine 212 includes acommunication module 220, an Ad-Chain Generator module 222, anImpression-to Ad-Recorder module 224, and aDefault-Recorder-and-Notifier module 226, and Ad Request Handler module228, and RTB-and-Network-Demand-Simultaneous processing module 230, apredictive pricing determination module 232, and ad exchange module 234,and a demand side handler module 236. The communication module 220facilitates and manages the communications by the Management Engine 212.In some implementations, the communication module 220 may be softwareincluding routines for facilitating communications. In someimplementations, the communication module 220 may be a set ofinstructions executable by the processor 202 to provide thefunctionality for generating and managing communications. In otherimplementations, the communication module 220 may be stored in thememory 204 (FIG. 2A) and may be accessible and executable by theprocessor 202 (FIG. 2A). In either implementation, communication module220 may be adapted for cooperation and communication with the processor202, data storage 210 and other components of the SSP platform and/orthe advertisement server 110 via the bus 206.

The Ad-Chain generator 222 renders a chain of advertisements asdescribed in FIGS. 4 through 6 below. In some implementations, theAd-Chain generator 222 may be software including routines for renderinga chain of advertisements. In some implementations, the Ad-Chaingenerator 222 may be a set of instructions executable by the processor202 (FIG. 2A) to provide the functionality for rendering a chain ofadvertisements. In other implementations, the Ad-Chain generator 222 maybe stored in the memory 204 (FIG. 2A) and may be accessible andexecutable by the processor 202 (FIG. 2A). In either implementation,Ad-Chain generator 222 may be adapted for cooperation and communicationwith the processor 202, data storage 210 and other components of the SSPplatform and/or the advertisement server 110 via the bus 206 (FIG. 2A).

The Impression-to-Ad Recorder 224 assigns an impression to anadvertisement as described in FIGS. 4 through 6 below. In someimplementations, the Impression-to-Ad Recorder 224 may be softwareincluding routines for assigning an impression to an advertisement. Insome implementations, the Impression-to-Ad Recorder 224 may be a set ofinstructions executable by the processor 202 (FIG. 2A) to provide thefunctionality for assigning an impression to an advertisement. In otherimplementations, the Impression-to-Ad Recorder 224 may be stored in thememory 204 (FIG. 2A) and may be accessible and executable by theprocessor 202 (FIG. 2A). In either implementation, Impression-to-AdRecorder 224 may be adapted for cooperation and communication with theprocessor 202, data storage 210 and other components of the SSP platformand/or the advertisement server 110 via the bus 206 (FIG. 2A).

The Default Recorder and Notifier 226 records and notifies of a defaultas described in the flow charts illustrated FIGS. 4 through 6 below. Insome implementations, the Default Recorder and Notifier 226 may besoftware including routines for recording and notifying of a default. Insome implementations, the Default Recorder and Notifier 226 may be a setof instructions executable by the processor 202 (FIG. 2A) to provide thefunctionality for recording and notifying of a default. In otherimplementations, the Default Recorder and Notifier 226 may be stored inthe memory 204 (FIG. 2A) and may be accessible and executable by theprocessor 202 (FIG. 2A). In either implementation, Default Recorder andNotifier 226 may be adapted for cooperation and communication with theprocessor 202, data storage 210 and other components of the SSP platformand/or the advertisement server 110 via the bus 206 (FIG. 2A).

The Ad Request Handler module 228 receives Ad requests as described inthe flow charts illustrated FIGS. 4 through 6 below. In someimplementations, the Ad Request Handler module 228 may be softwareincluding routines handling ad requests. In some implementations, the AdRequest Handler module 228 may be a set of instructions executable bythe processor 202 (FIG. 2A) to provide the functionality for handling adrequests. In other implementations, the Ad Request Handler module 228may be stored in the memory 204 (FIG. 2A) and may be accessible andexecutable by the processor 202 (FIG. 2A). In either implementation, theAd Request Handler module 228 may be adapted for cooperation andcommunication with the processor 202, data storage 210 and othercomponents of the SSP platform and/or the advertisement server 110 viathe bus 206 (FIG. 2A).

The RTB-and-Network-Demand-Simultaneous Processing module 230 fuses allthe RTB and Network demand channels as described in the flow chartsillustrated FIGS. 4 through 7 below. In some implementations, theRTB-and-Network-Demand-Simultaneous Processing module 230 may besoftware including routines for fusing the demand channels with thenetwork demand channels. In some implementations, theRTB-and-Network-Demand-Simultaneous Processing module 230 may be a setof instructions executable by the processor 202 (FIG. 2A) to provide thefunctionality for fusing all the demand and network channels. In otherimplementations, the RTB-and-Network-Demand-Simultaneous Processingmodule 230 may be stored in the memory 204 (FIG. 2A) and may beaccessible and executable by the processor 202 (FIG. 2A). In eitherimplementation, the RTB-and-Network-Demand-Simultaneous Processingmodule 230 may be adapted for cooperation and communication with theprocessor 202, data storage 210 and other components of the SSP platformand/or the advertisement server 110 via the bus 206 (FIG. 2A).

The predictive pricing determination module 232 may be configured topredict pricing based on consideration of historical data as describedin the flow charts illustrated in FIGS. 4 through 7 below. In someimplementations, the predictive pricing determination module may besoftware including routines predicting prices based on historical data.In some implementations, the predictive pricing determination module 232may be a set of instructions executable by the processor 202 (FIG. 2A)to provide the functionality for predicting prices. In otherimplementations, the predictive pricing determination module 232 may bestored in the memory 204 (FIG. 2A) and may be accessible and executableby the processor 202 (FIG. 2A). In either implementation, the predictivepricing determination module 232 may be adapted for cooperation andcommunication with the processor 202, data storage 210 and othercomponents of the SSP platform and/or the advertisement server 110 viathe bus 206 (FIG. 2A).

The Ad Exchange module 234 determines optimum pricing (first and secondpricing) as described in the flow charts illustrated in FIGS. 4 through7 below. In some implementations, the Ad Exchange module 234 may besoftware including routines for determining optimum pricing. In someimplementations, the ad exchange module 234 may be a set of instructionsexecutable by the processor 202 (FIG. 2A) to provide the functionalityfor handling ad requests. In other implementations, the Ad Exchangemodule 234 may be stored in the memory 204 (FIG. 2A) and may beaccessible and executable by the processor 202 (FIG. 2A). In eitherimplementation, the Ad exchange module 234 may be adapted forcooperation and communication with the processor 202, data storage 210and other components of the SSP platform and/or the advertisement server110 via the bus 206 (FIG. 2A).

The demand side handler module 236 determines the demand marketscenarios as described in the flow charts illustrated FIGS. 4 through 7below. In some implementations, the demand side handler module 236 maybe software including routines for determining the demand marketscenarios. In some implementations, the demand side handler module 236may be a set of instructions executable by the processor 202 (FIG. 2A)to provide the functionality for determining the number of demandchannels. In other implementations, the demand side handler module 236may be stored in the memory 204 (FIG. 2A) and may be accessible andexecutable by the processor 202 (FIG. 2A). In either implementation, thedemand side handler module 236 may be adapted for cooperation andcommunication with the processor 202, data storage 210 and othercomponents of the SSP platform and/or the advertisement server 110 viathe bus 206 (FIG. 2A).

Referring now to FIG. 3A, the user device (any of 115 a through 115 n)may be a conventional computer, for example, a personal computer that isused to represent a conventional type of mobile computing device, forexample, cellular telephones, tablet devices, or wearable devices, eachusing a computing device or a computing device connected to an actualmobile device. The user devices 115 a-115 n, are coupled to the network106 (e.g., an ad network) by signal lines 124 a-124 n, respectively. Inone embodiment, the user device 115 a is coupled to receive (e.g.,download or otherwise view) content with online advertisements from theadvertisement server 102 and other content from publishing sites orthird party servers (not shown) but coupled in the illustrateddistributed environment. The user device 115 a through 115 n includesthe web browser/mobile application 120 a for presenting web pagesincluding online content and advertisements to the user, consumer, orclient for viewing on their respective user devices 115 a-115 n. The webbrowser/mobile application 120 a on each of the user devices 115 a-115 npresents advertisements and other online content, and receives inputfrom the user as represented by signal lines 124 a-n. Users may interactvia their respective devices 115 a-115 n (e.g., for viewing ormanipulating tools to receive or control viewing of the online content).The web browser/mobile application 120 a-n and the scripts resident onthe user devices 115 a-115 n are operable on the user devices 115 athrough 115 n. In some implementations, the scripts may include a scriptfor deterministically rendering defaulting advertisement chains,indicated by reference numeral 122 a and a script for SSP demand fusion125 a.

The user device 115 a through 115 n may comprise a processor or one ormore processors, indicated by reference numeral 302, a memory 304, anetwork I/F module 308, a display device 310, and an input device 312.The processor 302 processes data signals and program instructionreceived from the memory 304. The processor 302 may comprise variouscomputing architectures including a complex instruction set computer(CISC) architecture, a reduced instruction set computer (RISC)architecture, or an architecture implementing a combination ofinstruction sets.

The memory 304 is non-transitory storage medium. The memory 304 storesthe instructions and/or data which may be executed by the processor 302.In some embodiments, the instructions and/or data stored on the memory304 comprises code for performing any and/or all of the techniquesdescribed herein. The memory 304 may be a dynamic random access memory(DRAM) device, a static random access memory (SRAM) device, flash memoryor some other memory device known in the art. The memory 304 includesthe web browser/mobile application 120 a including various scripts thatenhance the functionality of the SSP platform. In some implementations,the memory stores the web browser 120 with the SSP script fordeterministically rendering defaulting advertisement chains indicated byreference numeral 122 a. In some implementations, the memory 304 storesthe web browser/mobile application 120 a with the SSP script forimplementing demand fusion as indicated by reference numeral 125 a. Insome implementations, the memory 304 stores the web browser/mobileapplication 120 a with the SSP script for predictive pricing.

The network I/F module 308 facilitates the communication between theuser device 115 a and the servers via the network 106. A user, via theuser device 115 a, communicates with the other servers in the system 100(FIG. 1 ) via the network I/F module 308.

The display device 310 displays the content or web pages that aparticular user is viewing and the input device 312 serves as the inputto the display device 210.

Referring now to FIG. 3B, the SSP script for deterministically renderingdefaulting advertisement chains as indicated by reference numeral 122 amay include various modules to accomplish the enhanced functionalities.In some implementations, the SSP script 122 a comprises a communicationmodule 320, a thread-initializer module 322, adefaulted-iframes-removing module 324, an impression-to-ad-assignmentmodule 326, a default-detection Module 328, an ad-rendering module 330,an ad-to-iframe insertion module 332, a listener-to-iframe-attachmentmodule 334, an ad-to-iframe-insertion module 336, alistener-to-iframe-attachment module 338, an iframe-to-webpage-insertionmodule 340, an ad-loader module 342, a load-event-executer module 344, anotification module 346, a control-passing module 348, and an ad-mark-upmodule 350.

The communication module 320 may be software including routines forfacilitating communications with the SSP platform 108 and/or the AdServer 110. In some implementations, the communication module 320 may bea set of instructions executable by the processor 302 to provide thefunctionalities described below in the flow charts (FIGS. 4 through 6 )that provide the enhanced features. In other implementations, thecommunication module 320 may be stored in the memory 304 and may beaccessible and executable by the processor 302. In eitherimplementation, the communication module 320 may be adapted forcooperation and communication with the processor 302, the Network I/Fmodule 308, the memory 304, the display device 310, and the input device312 via the bus 306.

The thread-initializer module 320 may be software including routines forinitializing each of the threads. In some implementations, thethread-initializer module 320 may be a set of instructions executable bythe processor 302 to provide the functionalities described below in theflow charts (FIGS. 4 through 6 ) that facilitate initializing threadswhen deterministically rendering defaulting advertisement chains. Inother implementations, the thread-initializer module 320 may be storedin the memory 304 and may be accessible and executable by the processor302. In either implementation, the thread-initializer module 320 may beadapted for cooperation and communication with the processor 302, theNetwork I/F module 308, the memory 304, the display device 310, and theinput device 312 via the bus 306.

The defaulted-iframes-removing module 324 may be software includingroutines for removing defaulted iframes. In some implementations, thedefaulted-iframes-removing module 324 may be a set of instructionsexecutable by the processor 302 to provide the functionalities describedbelow in the flow charts (FIGS. 4 through 6 ) that facilitate removingdefaulted iframes. In other implementations, thedefaulted-iframes-removing module 324 may be stored in the memory 304and may be accessible and executable by the processor 302. In eitherimplementation, the defaulted-iframes-removing module 324 may be adaptedfor cooperation and communication with the processor 302, the NetworkI/F module 308, the memory 304, the display device 310, and the inputdevice 312 via the bus 306.

The impression-to-ad-assignment module 326 may be software includingroutines for assigning an impression to an advertisement. In someimplementations, the impression-to-ad-assignment module 326 may be a setof instructions executable by the processor 302 to provide thefunctionalities described below in the flow charts (FIGS. 4 through 6 )that facilitate assigning impressions to advertisements. In otherimplementations, the impression-to-ad-assignment module 326 may bestored in the memory 304 and may be accessible and executable by theprocessor 302. In either implementation, the impression-to-ad-assignmentmodule 326 may be adapted for cooperation and communication with theprocessor 302, the Network I/F module 308, the memory 304, the displaydevice 310, and the input device 312 via the bus 306.

The default-detection module 328 may be software including routines fordetecting a default. In some implementations, the default-detectionmodule 328 may be a set of instructions executable by the processor 302to provide the functionalities described below in the flow charts (FIGS.4 through 6 ) that facilitate detecting defaults. In otherimplementations, the default-detection module 328 may be stored in thememory 304 and may be accessible and executable by the processor 302. Ineither implementation, the default-detection module 328 may be adaptedfor cooperation and communication with the processor 302, the NetworkI/F module 308, the memory 304, the display device 310, and the inputdevice 312 via the bus 306.

The ad-rendering module 330 may be software including routines forrendering an advertisement from a chain. In some implementations, thead-rendering module 330 may be a set of instructions executable by theprocessor 302 to provide the functionalities described below in the flowcharts (FIGS. 4 through 6 ) that facilitate rendering an advertisement.In other implementations, the ad-rendering module 330 may be stored inthe memory 304 and may be accessible and executable by the processor302. In either implementation, the ad-rendering module 330 may beadapted for cooperation and communication with the processor 302, theNetwork I/F module 308, the memory 304, the display device 310, and theinput device 312 via the bus 306.

The ad-to-iframe insertion module 332 may be software including routinesfor inserting an advertisement within an iframe. In someimplementations, the ad-to-iframe insertion module 332 may be a set ofinstructions executable by the processor 302 to provide thefunctionalities described below in the flow charts (FIGS. 4 through 6 )that facilitate inserting the advertisement within the iframe. In otherimplementations, the ad-to-iframe insertion module 332 may be stored inthe memory 304 and may be accessible and executable by the processor302. In either implementation, the ad-to-iframe insertion may be adaptedfor cooperation and communication with the processor 302, the NetworkI/F module 308, the memory 304, the display device 310, and the inputdevice 312 via the bus 306.

The listener-to-iframe attachment module 334 may be software includingroutines for attaching the listener to the iframe. In someimplementations, the listener-to-iframe attachment module 334 may be aset of instructions executable by the processor 302 to provide thefunctionalities described below in the flow charts (FIGS. 4 through 6 )that facilitate attaching the listener to the iframe. In otherimplementations, the listener-to-iframe attachment module 334 may bestored in the memory 304 and may be accessible and executable by theprocessor 302. In either implementation, the listener-to-iframeattachment module 334 may be adapted for cooperation and communicationwith the processor 302, the Network I/F module 308, the memory 304, thedisplay device 310, and the input device 312 via the bus 306.

An additional ad-to-iframe insertion module 336 and listener-to-iframeattachment module 338 are illustrated to indicate that more than onemodule to accomplish these functionalities may be included.

The iframe-to-webpage insertion module 340 may be software includingroutines for inserting the iframe to the webpage. In someimplementations, the iframe-to-webpage insertion module 340 may be a setof instructions executable by the processor 302 to provide thefunctionalities described below in the flow charts (FIGS. 4 through 6 )that facilitate inserting the iframe to the webpage. In otherimplementations, the iframe-to-webpage insertion module 340 may bestored in the memory 304 and may be accessible and executable by theprocessor 302. In either implementation, the iframe-to-webpage insertionmodule 340 may be adapted for cooperation and communication with theprocessor 302, the Network I/F module 308, the memory 304, the displaydevice 310, and the input device 312 via the bus 306.

The ad-loader module 342 may be software including routines for loadingthe advertisements rendered in the chain. In some implementations, thead-loader module 342 may be a set of instructions executable by theprocessor 302 to provide the functionalities described below in the flowcharts (FIGS. 4 through 6 ) that facilitate loading the advertisements.In other implementations, the ad-loader module 342 may be stored in thememory 304 and may be accessible and executable by the processor 302. Ineither implementation, the ad-loader module 342 may be adapted forcooperation and communication with the processor 302, the Network I/Fmodule 308, the memory 304, the display device 310, and the input device312 via the bus 306.

The load-event executer module 344 may be software including routinesfor executing the load event. In some implementations, the load-eventexecuter module 344 may be a set of instructions executable by theprocessor 302 to provide the functionalities described below in the flowcharts (FIGS. 4 through 6 ) that facilitate executing the load events.In other implementations, load-event executer module 344 may be storedin the memory 304 and may be accessible and executable by the processor302. In either implementation, the load-event executer module 344 may beadapted for cooperation and communication with the processor 302, theNetwork I/F module 308, the memory 304, the display device 310, and theinput device 312 via the bus 306.

The notification module 346 may be software including routines forproviding notifications. In some implementations, the notificationmodule 346 may be a set of instructions executable by the processor 302to provide the functionalities described below in the flow charts (FIGS.4 through 6 ) that facilitate providing notifications. In otherimplementations, the notification module 346 may be stored in the memory304 and may be accessible and executable by the processor 302. In eitherimplementation, the notification module 346 may be adapted forcooperation and communication with the processor 302, the Network I/Fmodule 308, the memory 304, the display device 310, and the input device312 via the bus 306.

The control-passing module 348 may be software including routines forpassing control. In some implementations, the control-passing module 348may be a set of instructions executable by the processor 302 to providethe functionalities described below in the flow charts (FIGS. 4 through6 ) that facilitate passing control. In other implementations,control-passing module 348 may be stored in the memory 304 and may beaccessible and executable by the processor 302. In eitherimplementation, the control-passing module 348 may be adapted forcooperation and communication with the processor 302, the Network I/Fmodule 308, the memory 304, the display device 310, and the input device312 via the bus 306.

The ad-mark-up module 350 may be software including routines for markingup the advertisement. In some implementations, the ad-mark-up module maybe a set of instructions executable by the processor 302 to provide thefunctionalities described below in the flow charts (FIGS. 4 through 6 )that facilitate marking up advertisement. In other implementations,ad-mark-up module 350 may be stored in the memory 304 and may beaccessible and executable by the processor 302. In eitherimplementation, the ad-mark-up module may be adapted for cooperation andcommunication with the processor 302, the Network I/F module 308, thememory 304, the display device 310, and the input device 312 via the bus306.

Referring now to FIG. 3C, the SSP script that operates in conjunctionwith demand fusion is illustrated. The script 125 a includes acommunication module 352 and a buyers-compiling-and/or-execution module354. The communication module 352 may be software including routines forfacilitating communications on demand market scenarios. In someimplementations, the communication module 352 may be a set ofinstructions executable by the processor 302 to provide thefunctionalities described below in the flow charts (FIGS. 4 through 7 )that determining market demand. In other implementations, thecommunication module 352 may be stored in the memory 304 and may beaccessible and executable by the processor 302. In eitherimplementation, the communication module 352 may be adapted forcooperation and communication with the processor 302, the Network I/Fmodule 308, the memory 304, the display device 310, and the input device312 via the bus 306.

The buyers-compiling-and/or-execution module 354 may be softwareincluding routines for compiling a list of buyers to reside in thebrowser. In some implementations, the buyers-compiling-and/or-executionmodule 354 may be a set of instructions executable by the processor 302to provide the functionalities described below in the flow charts (FIGS.4 through 7 ) that facilitate compiling the list of buyers. In otherimplementations, the buyers-compiling-and/or-execution module 354 may bestored in the memory 304 and may be accessible and executable by theprocessor 302. In either implementation, thebuyers-compiling-and/or-execution module 354 may be adapted forcooperation and communication with the processor 302, the Network OFmodule 308, the memory 304, the display device 310, and the input device312 via the bus 306.

Algorithms for Deterministically Rendering Defaulting AdvertisementChains, Implementing Demand Fusion and Predictive Pricing Operations

Referring now to FIG. 4 , the process for deterministically determininga non-defaulting advertisement in an advertisement chain and assigningan impression to that advertisement is described, as indicated byreference numeral 400. The process 400 may begin and proceed to block402, including one or more operations for sending an advertisementrequest for advertisements. The process proceeds to the next block 404,including one or more operations for receiving an advertisement chain,including a set of possibly defaulting advertisements and non-defaultingadvertisements in order to decreasing cost per mille (CPM). The process400 proceeds to the next block 406 including one or more operations fordeterministically determining advertisements in an advertisement chainthat delivers the advertisement without defaulting. The process 400proceeds to the next block 408 including one or more operations forassigning an impression to an advertisement, which delivers theadvertisement without defaulting.

FIGS. 5A through 5D represent a continuous flowchart of a specificmethod 500 for deterministically determining a non-defaultingadvertisement in an advertisement chain and assigning an impression tothat advertisement. The method 500 begins and proceeds to block 502,including one or more operations for initiating a first processingthread. The method 500 proceeds to block 504 including one or moreoperations for sending an advertisement request. The method 500 proceedsto the next block 506, including one or more operations for receiving anadvertisement chain as a response wherein the advertisement chainincludes an ordered list of N (a given number) of advertisements withthe following properties: 1) first N−1 advertisements are possiblydefaulting advertisements; 2) advertisements are ordered by decreasingcost per mille (CPM); and 3) last advertisement in the chain isnon-defaulting. The method 500 proceeds to the next block 508 includingone or more operations for removing any previously defaulted iframesfrom the next advertisement in the advertisement chain. From there, themethod 500 proceeds to the next block 510 including one or moreoperations for sending possible impression events to the advertisementserver (e.g., ad server 110) for an advertisement. The method 500proceeds to the next block 512 including one or more operations fordetermining whether the advertisement is a defaulting advertisement. Themethod 500 proceeds to the next decision block 514 including one or moreoperations for determining if an advertisement is a defaultingadvertisement. If the answer is negative, the method 500 proceeds to thenext block including one or more operations for rendering theadvertisement by adding the advertisement's HTML to a web page. If theanswer is affirmative, the method 500 continues via connector “A” to thenext block 518 in FIG. 5B including one or more operations for insertingan advertisement's HTML into an iframe. The method 500 proceeds to thenext block 520 including one or more operations for attaching “onLoad”listener to the iframe for detecting the ad load. The method 500proceeds to the next block 522 including one or more operations forattaching the postMessage listener to iframe for detecting a default.The method 500 proceeds to the next block 524 including one or moreoperations for adding the iframe to the webpage. The method 500 proceedsto the next block 526 for initiating a second processing thread at thispoint. The method 500 proceeds to the next block 528 including one ormore operations for loading advertisement's HTML in an attempt to servethe advertisement. The method 500 proceeds to the next block 530including one or more operations for determining whether theadvertisement defaults. From there, the method proceeds to the nextdecision block 530 including one or more operations for determining ifthere are any advertisement defaults. If the answer is negative, themethod 500 proceeds to the next block 532 including one or moreoperations for triggering iframe's load event. From there the method 500proceeds via connection “C” to FIG. 5D. If the answer at decision block530 is affirmative, the method 500 proceeds via connector “B” to theFIG. 5C.

Referring now to FIG. 5C, the method 500 proceeds to block 534 includingone or more operations for requesting a default resource and executingJavaScript that broadcasts default notification to the advertisement'siframe using postmessage. The method 500 proceeds to the next block 536including one or more operations for initiating a third processingthread. The method 500 proceeds to the next block 540 including one ormore operations for marking an advertisement as defaulted in a taglibrary's chain model. The method 500 proceeds to the next block 542including one or more operations for signaling the first processingthread to process the next advertisement in the advertisement chain.From there, the method 500 returns via connector “D” to block 508 inFIG. 5A to proceed to the next advertisement in the advertisement chain,removing any previously defaulted iframes and on.

Referring now to FIG. 5D, via connector “C,” the method 500 proceeds tothe next block 546 including one or more operations for initiating afourth processing thread. The method proceeds to the next block 548including one or more operations for passing control back to the taglibrary in the parent window. The method 500 proceeds to the next block550 including one or more operations for determining whether the defaultwas marked for the advertisement. The method 500 proceeds to the nextdecision block 552 presenting a query to determine if the default ismarked. If the answer is negative, the method 500 proceeds to the nextblock 556 including one or more operations for sending a recordimpression event to an ad server for an advertisement. If the answer isaffirmative, the method 500 proceeds to the next block 554 including oneor more operations for signaling the first processing thread to processthe next advertisement in the advertisement chain. From there, themethod 500 returns via connector “D” to block 508 in FIG. 5A.

Referring now to FIG. 6 , an example sequence diagram for deterministicrendering of an advertisement chain is described generally as indicatedby reference numeral 600. The first thread, “Thread A” (JavaScript codein the local tag library) may perform the following operations. First,it receives an advertisement chain response from the advertisementserver 110 in response to an advertisement request. For the nextadvertisement link in the chain, the method performs the followingoperations:

-   -   a. Remove any previously defaulted iframes.    -   b. Send a “possible impression” event to the server for this        link, possibly bundled with a “record default” event for a        previously defaulted link.    -   c. If the link is a defaulting ad, the following:        -   i. Insert the link's HTML into an iframe.        -   ii. Attach an “onLoad” listener to the iframe for detecting            the ad load.        -   iii. Attach a “postMessage” listener to the iframe for            detecting a default.        -   iv. Add the iframe to the page. Thread B is scheduled at            this point.    -   d. Otherwise, the link is the last ad in the chain        (non-defaulting):        -   i. Render the link by adding its HTML to the page.

Thread B (The HTML in the current link's iframe) performs the followingoperations:

-   -   1. The ad HTML for link loads, attempting to serve an        advertisement.    -   2. If the advertisement defaults, request the default resource:        -   a. Execute JavaScript that broadcasts a default notification            to link's iframe using “postMessage.” Thread C is scheduled            at this point.    -   3. The complete contents of the iframe finish loading,        triggering the iframe's “load” event. Thread D is scheduled at        this point.

Thread C (“The postMessage” listener attached to the current link'siframe) performs the following operations:

-   -   1. A default notification is detected and control is passed back        to the tag library in the parent window.    -   2. Mark that link defaulted in the tag library's chain model.    -   3. Thread A resumes at step (2) as discussed above with        reference to Thread A.

Thread D (The “onLoad” listener attached to the current link's iframe)performs the following operations:

-   -   1. Control is passed back to the tag library in the parent        window.    -   2. If a default was marked for link:        -   a. Do nothing. Thread A will resume at step (2).    -   3. Otherwise:        -   a. Send a “record impression” event to the server for link.

The algorithm presented here is enhanced and introduces Thread D, alistener for the iframe load event of the current link's iframe. Thelistener first checks if a default has been marked for its link. Markingthe default would have occurred in Thread C, Step 2. This check isnecessary because in some web browsers the load event fires at themoment of the iframe's removal from the page. Thus, the “postMessage”listener only fires when a default occurs, but the matching load eventmay later fire for every defaulting link. In most web browsers, theonLoad listener disappears prior to load firing when its iframe isremoved in the postMessage listener.

Another, significant advantage lies in sending “possible impression” and“record default” events to the server (Thread A, step 2b) is no longernecessary for determining the correct impression for the overallprocess. Sending this information is optional because of its usefulnessfor calculating default rates or determining if the web page was exitedprematurely.

The system and methods for deterministically rendering defaultingadvertisement chains have several advantages as they present a desirablesolution. This solution is cost-effective because it has the ability toimmediately impute the correct impression by completely removing theneed for a server-side event aggregation system that latently calculatesthe correct impression. This is effectively and efficiently accomplishedby a few lines of JavaScript code that execute in the user's browser aspart of the ad tag library. This solution is always correct because ifan impression event is received by the server 110 for an advertisementchain, there is no uncertainty about its correctness. If the user exitsthe web page prematurely, no impression is incorrectly assumed. Inaddition, this solution presents better chain serving metrics. Thecollected record default and possible impression events may be used todetermine precisely when the chain rendering process may have stoppedprematurely and to calculate the rates at which chain tags default. Thissolution is deterministic, that is, there is no delay introduced intothe flow of an advertisement transaction, allowing chain serving tointegrate seamlessly with advertisement serving components that respondgreedily to impression events.

Referring now to FIG. 7 , a multi-layer bid structure or implementationis described. This method illustrated generally by reference numeral 700begins and proceeds to a block 702 including one or more operations forloading a web page from a publisher web site. With loading the web page,the method 700 proceeds to the next block 704 including one or moreoperations for loading an ad exchange header code (“OX Header Code”).From there, the method 700 proceeds to the next block 706 including oneor more operations for returning bidding participants' tags to theheader. The method 700 proceeds to the next block 708 including one ormore operations for soliciting participants. The method 700 proceeds tothe next block 710 including one or more operations for normalizingparticipants' bids. The method 700 proceeds to the next block 712including one or more operations for passing the highest bid into theDemand-Side Platform (DSP, e.g., 130 in FIG. 1 ) as a key value. Themethod 700 proceeds to the next block 714 including one or moreoperations for performing an ad selection. If an ad is for the DSP 130,the ad is served to the DSP. If the Ad Exchange passes the key value,the appropriate participant creative is served. The method 700 proceedsto the next block 716 including one or more operations for recording theparticipants' respective bids and serving the winner.

Referring now to FIG. 8 , the data storage 310 is illustrated in greaterdetail. The storage 310 has memory sectors for storing advertisementchains, indicated by reference numeral 802. Examples may include a setof advertisement chains, each advertisement chain including an orderedlist of N advertisements with three properties, primarily, where thefirst N−1 advertisements are designated as possibly defaultingadvertisements. The second category includes advertisements that areordered by decreasing cost per mille (CPM) and the third category iswhere the last advertisement in the advertisement chain isnon-defaulting. The second memory sector includes CPM information,indicated by reference numeral 804, which represents the cost per milleassociated with each advertisement. The third memory sector in the datastorage 806 includes impression information, which by way of example,includes information regarding impressions that have been assigned tothe advertisements. The fourth memory sector includes “Ad Mark Ups”designated by reference numeral 808, including by way of example, markups for each advertisement indicating whether the advertisement is adefaulting or a non-defaulting advertisement.

Referring now to FIG. 9 , an example graphical representationillustrates the online advertising scenario 900 with the improved SSPplatform. An ad request for a user's device is transmitted to theenhanced supply-side platform as indicated by the arrow designated by“1.” At the supply-side platform, as designated by “2,” the RTB and theNetwork Demand compete simultaneously and prioritize based on bids,advertisement quality, and other factors. The chain of buyers iscompiled within the user's browser, eliminating the need to visit fromone advertisement server to another. This is designated by referencenumeral “3.” From the ad network and ad server, the chain is executed inthe user's browser as designated by reference numeral “4.”

FIG. 10 illustrates another example graphical representation indicatedgenerally by reference numeral 1000. An Ad request for an Advertisementdisplay is routed to the supply-side platform, which considers thenetwork demand and the RTB demand, by fusing all the channels. Thetechnology considers the network demand and the RTB demand andprioritizes advertisements based on the bids, advertisement quality andother factors that may be used. The technology in the supply-sideplatform compiles a chain of buyers from the network and the RTB demandwithin the user's browser, eliminating the need to search from oneadvertisement server to another. The system awards the impressions basedon a true CPM algorithm, which factors the bid with the default rate.

FIG. 11 presents yet another online advertising scenario 1100 with theenhanced SSP platform illustrating how it works with third-party Adservers. As illustrated, there is an initial synchronization set upbetween the supply-side platform and the third-party Ad Server andthird-party Exchange. This stage is designated by numeral “1.” Theadvertisement request is routed for an advertisement space to thesupply-side platform as designated by the numeral “2.” The network andRTB demand are simultaneously prioritized based on the bids,advertisement quality, and other factors that may be used. This phase isdesignated by reference numeral “3.” A chain of buyers are compiledwithin the user's browser, thereby eliminating the need to visit one adserver to another. This phase is designated by numerals “4” and “5.”

The foregoing description of the embodiments of the present inventionhas been presented for the purposes of illustration and description. Itis not intended to be exhaustive or to limit the present invention tothe precise form disclosed. Many modifications and variations arepossible in light of the above teaching. It is intended that the scopeof the present invention be limited not by this detailed description,but rather by the claims of this application. As will be understood bythose familiar with the art, the present invention may be embodied inother specific forms without departing from the spirit or essentialcharacteristics thereof. Likewise, the particular naming and division ofthe modules, routines, features, attributes, methodologies and otheraspects are not mandatory or significant, and the mechanisms thatimplement the present invention or its features may have differentnames, divisions and/or formats. Furthermore, as will be apparent to oneof ordinary skill in the relevant art, the modules, routines, features,attributes, methodologies and other aspects of the present invention canbe implemented as software, hardware, firmware or any combination of thethree. Also, wherever a component, an example of which is a module, ofthe present invention is implemented as software, the component can beimplemented as a standalone program, as part of a larger program, as aplurality of separate programs, as a statically or dynamically linkedlibrary, as a kernel loadable module, as a device driver, and/or inevery and any other way known now or in the future to those of ordinaryskill in the art of computer programming. Additionally, the presentinvention is in no way limited to implementation in any specificprogramming language, or for any specific operating system orenvironment.

What is claimed is:
 1. A method for online allocation of creatives overa communication network in viewable content, comprising: in anintegrated architecture of a supply-side platform comprising a processorand a memory with executable code, driving the processor to execute aplurality of control actions by the executable code via an interfaceconnection coupled to the communication network, comprising: receiving arequest for a creative transmitted in an instance that a user devicecoupled to the communication network, loads viewable content with a slotfor the creative; executing, by the processor, simultaneous channels tomultiple sources of creative inventory, and loading a header code withthe viewable content, the header code facilitating a flow of biddingparticipant tags from the multiple sources to a header section withinthe viewable content, wherein the bidding participant tags arenormalized; and selecting data representative of a highest bid andpassing the data representative of the highest bid as a key value dataindicator to a demand-side source to serve an appropriate participantcreative to the demand-side source.
 2. The method of claim 1, whereinthe supply-side platform dynamically selects the data representative ofthe highest bid within a browser in the user device.
 3. The method ofclaim 2, wherein a decision on the creative for delivery is executed inthe browser with a determination of an associated price datadesignation.
 4. The method of claim 3, wherein delivery of the creativeis initiated from the browser.
 5. The method of claim 1, wherein thesupply-side platform fuses a plurality of demand-side sources into anintegrated channel.
 6. The method of claim 1, wherein the supply-sideplatform comprises a function that is triggered to review and block thecreative.
 7. The method of claim 1, wherein the supply-side platformcomprises a filter configured to execute and filter by at least one froma group of: a brand data indicator, a buyer data indicator, a categorydata indicator, an industry data indicator, and an advertisement typedata indicator.
 8. The method of claim 1, wherein the supply-sideplatform comprises an identification tool configured to identify andrequest removal of the creative via a plug-in function in a browser. 9.The method of claim 1, wherein the supply-side platform comprises afunction to automate malware protection.
 10. The method of claim 1,further comprising: generating, by the processor, a plurality ofreporting data representative of yield, bid landscape, and inventoryperformance.
 11. The method of claim 1, wherein the supply-side platformcomprises a capability to schedule monitoring events and generatereal-time actions to address a discrepancy observation, fill rateoperation, yield data and bid landscape view.
 12. A system for onlineallocation of creatives in viewable content displayed over acommunication network in a user's device, comprising: an integratedarchitecture of a supply-side platform comprising: a processor; a memorywith executable code, the executable code driving the processor toexecute a plurality of control actions; an interface connection coupledto the communication network and delivering the plurality of controlactions over the communication network, wherein the control actionsfurther comprise: receiving a request for a creative, wherein therequest is transmitted in an instance that a user device loads theviewable content with a slot for embedding the creative; executingsimultaneous channels to multiple sources of participant creativeinventory, wherein a header code loaded with the viewable contentcreates a flow of bidding participant tags from the multiple sources ofcreative inventory to a header section in the viewable content, whereinthe bidding participant tags are normalized; and selecting datarepresentative of a highest bid and passing the data representative ofthe highest bid as a key value data indication to a particular source toserve an appropriate participant creative.
 13. The system of claim 12,wherein the supply-side platform dynamically selects the datarepresentative of the highest bid within a browser in the user device.14. The system of claim 13, wherein a decision on the appropriateparticipant creative for delivery is executed in the browser with adetermination of an associated price data indicator.
 15. The system ofclaim 14, wherein delivery of the creative is initiated from thebrowser.
 16. The system of claim 12, wherein the supply-side platformfuses the multiple sources of creative inventory into an integratedchannel.
 17. The system of claim 12, wherein the supply-side platformcomprises a function triggered to review and block the creative.
 18. Thesystem of claim 12, wherein the supply-side platform comprises a filterconfigured to filter by at least one from a group of: datarepresentative of a brand, data representative of a buyer, datarepresentative of a category, data representative of an industry, anddata representative of an advertisement type.
 19. The system of claim12, wherein the supply-side platform comprises an identification toolconfigured to identify and request removal of the creative via a plug-infunction in a browser.
 20. The system of claim 12, wherein thesupply-side platform comprises a capability to schedule monitoringevents and generate real-time actions to address a data representativeof a discrepancy, data representative of a fill rate, datarepresentative of a yield and data representative of a bid landscape.